Javed Inamdar
Expertise
Life without adventure and fun would be too boring. This has been a motto of my life, which made me push the envelope every now and then, and shaped up my professional/personal life. Started career into software testing, moved to a pure analytics role, then to a management role and finally took responsibility to build a startup. Curiosity, innovation, focus, continuous learning and never shying away from taking up challenges made this journey possible. Equally important are my forays into leading activities in social responsibility space and coaching technical skills space, which widened my horizons and taught me to think differently and out of the box. Along the way picked up many key skills like building and leading teams, project management, product management, conflict management, coaching as well as hardcore technical skills like data analytics and data engineering. All these efforts always resulted into excellent performance not only in an individual contributor role but also in a managerial/leadership role.Aim to continue this adventure ride, pick up new challenges, learn and deliver exemplary positive results to all stakeholders.
Forecasting platform for liquor distributor in Europe
CLIENT A leading liquor distributor in Europe CHALLENGE 5000+ SKUs managed by 65+ product managers made demand forecasting and forecast adjustment process time consuming and error prone. APPROACH • Built a cloud based demand forecasting solution. • Designed and implemented data pipeline to pull data from client’s on-premise database for forecasting as well pushing forecasts back to client’s system. • R language is used to build forecasting model and web user interface.
Forecasting Models for leading fertiliser manufacturer
CLIENT A game changing global fertilizer producing company headquartered in India CHALLENGE Legacy demand forecasting process for the clients global operation was excel based and heavily dependent on personal judgement. This resulted in low accuracy of 20-30%. Due to this client was facing difficult to manage the inventory and place replenishment orders from point of sales. APPROACH • Built a time series model to analyze the past data and forecast 6 months ahead.
